
"""simple docstring"""


import argparse
import os
import re


SCREAMING_SNAKE_CASE			  =  """src/diffusers"""

# Pattern that looks at the indentation in a line.
SCREAMING_SNAKE_CASE			  =  re.compile(R"""^(\s*)\S""")
# Pattern that matches `"key":" and puts `key` in group 0.
SCREAMING_SNAKE_CASE			  =  re.compile(R"""^\s*\"([^\"]+)\":""")
# Pattern that matches `_import_structure["key"]` and puts `key` in group 0.
SCREAMING_SNAKE_CASE			  =  re.compile(R"""^\s*_import_structure\[\"([^\"]+)\"\]""")
# Pattern that matches `"key",` and puts `key` in group 0.
SCREAMING_SNAKE_CASE			  =  re.compile(R"""^\s*\"([^\"]+)\",\s*$""")
# Pattern that matches any `[stuff]` and puts `stuff` in group 0.
SCREAMING_SNAKE_CASE			  =  re.compile(R"""\[([^\]]+)\]""")



def 						lowerCamelCase__      (				UpperCAmelCase_					)->				Dict:







       """simple docstring"""
       UpperCamelCase       			=		_re_indent.search(UpperCAmelCase_					)
       return "" if search is None else search.groups()[0]



def 						lowerCamelCase__      (				UpperCAmelCase_		,   UpperCAmelCase_=""		,   UpperCAmelCase_=None		,   UpperCAmelCase_=None					)->				List[str]:







       """simple docstring"""
       UpperCamelCase       			=		0
       UpperCamelCase       			=		code.split("\n"					)
       if start_prompt is not None:
              while not lines[index].startswith(UpperCAmelCase_					):
                     index += 1
              UpperCamelCase       			=		["\n".join(lines[:index]					)]
       else:
              UpperCamelCase       			=		[]

       # We split into blocks until we get to the `end_prompt` (or the end of the block).
       UpperCamelCase       			=		[lines[index]]
       index += 1
       while index < len(UpperCAmelCase_					) and (end_prompt is None or not lines[index].startswith(UpperCAmelCase_					)):
              if len(lines[index]					) > 0 and get_indent(lines[index]					) == indent_level:
                     if len(UpperCAmelCase_					) > 0 and get_indent(current_block[-1]					).startswith(indent_level + " "					):
                            current_block.append(lines[index]					)
                            blocks.append("\n".join(UpperCAmelCase_					)					)
                            if index < len(UpperCAmelCase_					) - 1:
                                   UpperCamelCase       			=		[lines[index + 1]]
                                   index += 1
                            else:
                                   UpperCamelCase       			=		[]
                     else:
                            blocks.append("\n".join(UpperCAmelCase_					)					)
                            UpperCamelCase       			=		[lines[index]]
              else:
                     current_block.append(lines[index]					)
              index += 1

       # Adds current block if it's nonempty.
       if len(UpperCAmelCase_					) > 0:
              blocks.append("\n".join(UpperCAmelCase_					)					)

       # Add final block after end_prompt if provided.
       if end_prompt is not None and index < len(UpperCAmelCase_					):
              blocks.append("\n".join(lines[index:]					)					)

       return blocks



def 						lowerCamelCase__      (				UpperCAmelCase_					)->				List[Any]:







       """simple docstring"""

       def _inner(UpperCAmelCase_					):
              return key(UpperCAmelCase_					).lower().replace("_"		,   ""					)

       return _inner



def 						lowerCamelCase__      (				UpperCAmelCase_		,   UpperCAmelCase_=None					)->				Optional[int]:







       """simple docstring"""

       # If no key is provided, we use a noop.
       def noop(UpperCAmelCase_					):
              return x

       if key is None:
              UpperCamelCase       			=		noop
       # Constants are all uppercase, they go first.
       UpperCamelCase       			=		[obj for obj in objects if key(UpperCAmelCase_					).isupper()]
       # Classes are not all uppercase but start with a capital, they go second.
       UpperCamelCase       			=		[obj for obj in objects if key(UpperCAmelCase_					)[0].isupper() and not key(UpperCAmelCase_					).isupper()]
       # Functions begin with a lowercase, they go last.
       UpperCamelCase       			=		[obj for obj in objects if not key(UpperCAmelCase_					)[0].isupper()]

       UpperCamelCase       			=		ignore_underscore(UpperCAmelCase_					)
       return sorted(UpperCAmelCase_		,   key=UpperCAmelCase_					) + sorted(UpperCAmelCase_		,   key=UpperCAmelCase_					) + sorted(UpperCAmelCase_		,   key=UpperCAmelCase_					)



def 						lowerCamelCase__      (				UpperCAmelCase_					)->				Union[str, Any]:







       """simple docstring"""

       # This inner function sort imports between [ ].
       def _replace(UpperCAmelCase_					):
              UpperCamelCase       			=		match.groups()[0]
              if "," not in imports:
                     return F"[{imports}]"
              UpperCamelCase       			=		[part.strip().replace("\""		,   ""					) for part in imports.split(","					)]
              # We will have a final empty element if the line finished with a comma.
              if len(keys[-1]					) == 0:
                     UpperCamelCase       			=		keys[:-1]
              return "[" + ", ".join([F"\"{k}\"" for k in sort_objects(UpperCAmelCase_					)]					) + "]"

       UpperCamelCase       			=		import_statement.split("\n"					)
       if len(UpperCAmelCase_					) > 3:
              # Here we have to sort internal imports that are on several lines (one per name):
              # key: [
              #     "object1",
              #     "object2",
              #     ...
              # ]

              # We may have to ignore one or two lines on each side.
              UpperCamelCase       			=		2 if lines[1].strip() == "[" else 1
              UpperCamelCase       			=		[(i, _re_strip_line.search(UpperCAmelCase_					).groups()[0]) for i, line in enumerate(lines[idx:-idx]					)]
              UpperCamelCase       			=		sort_objects(UpperCAmelCase_		,   key=lambda UpperCAmelCase_					: x[1]					)
              UpperCamelCase       			=		[lines[x[0] + idx] for x in sorted_indices]
              return "\n".join(lines[:idx] + sorted_lines + lines[-idx:]					)
       elif len(UpperCAmelCase_					) == 3:
              # Here we have to sort internal imports that are on one separate line:
              # key: [
              #     "object1", "object2", ...
              # ]
              if _re_bracket_content.search(lines[1]					) is not None:
                     UpperCamelCase       			=		_re_bracket_content.sub(_replace		,   lines[1]					)
              else:
                     UpperCamelCase       			=		[part.strip().replace("\""		,   ""					) for part in lines[1].split(","					)]
                     # We will have a final empty element if the line finished with a comma.
                     if len(keys[-1]					) == 0:
                            UpperCamelCase       			=		keys[:-1]
                     UpperCamelCase       			=		get_indent(lines[1]					) + ", ".join([F"\"{k}\"" for k in sort_objects(UpperCAmelCase_					)]					)
              return "\n".join(UpperCAmelCase_					)
       else:
              # Finally we have to deal with imports fitting on one line
              UpperCamelCase       			=		_re_bracket_content.sub(_replace		,   UpperCAmelCase_					)
              return import_statement



def 						lowerCamelCase__      (				UpperCAmelCase_		,   UpperCAmelCase_=True					)->				Tuple:







       """simple docstring"""
       with open(UpperCAmelCase_		,   "r"					) as f:
              UpperCamelCase       			=		f.read()

       if "_import_structure" not in code:
              return

       # Blocks of indent level 0
       UpperCamelCase       			=		split_code_in_indented_blocks(
           UpperCAmelCase_		,   start_prompt="_import_structure = {"		,   end_prompt="if TYPE_CHECKING:"					)

       # We ignore block 0 (everything until start_prompt) and the last block (everything after end_prompt).
       for block_idx in range(1		,   len(UpperCAmelCase_					) - 1					):
              # Check if the block contains some `_import_structure`s thingy to sort.
              UpperCamelCase       			=		main_blocks[block_idx]
              UpperCamelCase       			=		block.split("\n"					)

              # Get to the start of the imports.
              UpperCamelCase       			=		0
              while line_idx < len(UpperCAmelCase_					) and "_import_structure" not in block_lines[line_idx]:
                     # Skip dummy import blocks
                     if "import dummy" in block_lines[line_idx]:
                            UpperCamelCase       			=		len(UpperCAmelCase_					)
                     else:
                            line_idx += 1
              if line_idx >= len(UpperCAmelCase_					):
                     continue

              # Ignore beginning and last line: they don't contain anything.
              UpperCamelCase       			=		"\n".join(block_lines[line_idx:-1]					)
              UpperCamelCase       			=		get_indent(block_lines[1]					)
              # Slit the internal block into blocks of indent level 1.
              UpperCamelCase       			=		split_code_in_indented_blocks(UpperCAmelCase_		,   indent_level=UpperCAmelCase_					)
              # We have two categories of import key: list or _import_structure[key].append/extend
              UpperCamelCase       			=		_re_direct_key if "_import_structure" in block_lines[0] else _re_indirect_key
              # Grab the keys, but there is a trap: some lines are empty or just comments.
              UpperCamelCase       			=		[(pattern.search(UpperCAmelCase_					).groups()[0] if pattern.search(UpperCAmelCase_					) is not None else None) for b in internal_blocks]
              # We only sort the lines with a key.
              UpperCamelCase       			=		[(i, key) for i, key in enumerate(UpperCAmelCase_					) if key is not None]
              UpperCamelCase       			=		[x[0] for x in sorted(UpperCAmelCase_		,   key=lambda UpperCAmelCase_					: x[1]					)]

              # We reorder the blocks by leaving empty lines/comments as they were and reorder the rest.
              UpperCamelCase       			=		0
              UpperCamelCase       			=		[]
              for i in range(len(UpperCAmelCase_					)					):
                     if keys[i] is None:
                            reordered_blocks.append(internal_blocks[i]					)
                     else:
                            UpperCamelCase       			=		sort_objects_in_import(internal_blocks[sorted_indices[count]]					)
                            reordered_blocks.append(UpperCAmelCase_					)
                            count += 1

        # And we put our main block back together with its first and last line.
              UpperCamelCase       			=		"\n".join(block_lines[:line_idx] + reordered_blocks + [block_lines[-1]]					)

       if code != "\n".join(UpperCAmelCase_					):
              if check_only:
                     return True
              else:
                     print(F"Overwriting {file}."					)
                     with open(UpperCAmelCase_		,   "w"					) as f:
                            f.write("\n".join(UpperCAmelCase_					)					)



def 						lowerCamelCase__      (				UpperCAmelCase_=True					)->				Tuple:







       """simple docstring"""
       UpperCamelCase       			=		[]
       for root, _, files in os.walk(UpperCAmelCase_					):
              if "__init__.py" in files:
                     UpperCamelCase       			=		sort_imports(os.path.join(UpperCAmelCase_		,   "__init__.py"					)		,   check_only=UpperCAmelCase_					)
                     if result:
                            UpperCamelCase       			=		[os.path.join(UpperCAmelCase_		,   "__init__.py"					)]
       if len(UpperCAmelCase_					) > 0:
              raise ValueError(F"Would overwrite {len(UpperCAmelCase_					)} files, run `make style`."					)


if __name__ == "__main__":
      SCREAMING_SNAKE_CASE			  =  argparse.ArgumentParser()
      parser.add_argument("""--check_only""", action="""store_true""", help="""Whether to only check or fix style.""")
      SCREAMING_SNAKE_CASE			  =  parser.parse_args()

      sort_imports_in_all_inits(check_only=args.check_only)







"""simple docstring"""


import itertools
import json
import os
import unittest

from transformers import AddedToken, LongformerTokenizer, LongformerTokenizerFast
from transformers.models.longformer.tokenization_longformer import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin



@require_tokenizers
class 	__a	(   _lowerCAmelCase     ,  unittest.TestCase						):
       UpperCamelCase_		:       Optional[int]				=      LongformerTokenizer
       UpperCamelCase_		:       str				=      True
       UpperCamelCase_		:       Tuple				=      LongformerTokenizerFast
       UpperCamelCase_		:       List[str]				=      True






       def 						_SCREAMING_SNAKE_CASE							(	self			:				Dict      )->	Any:







              """simple docstring"""
              super().setUp()

              # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
              UpperCamelCase       			=		[
                  "l",
                  "o",
                  "w",
                  "e",
                  "r",
                  "s",
                  "t",
                  "i",
                  "d",
                  "n",
                  "\u0120",
                  "\u0120l",
                  "\u0120n",
                  "\u0120lo",
                  "\u0120low",
                  "er",
                  "\u0120lowest",
                  "\u0120newer",
                  "\u0120wider",
                  "<unk>",
              ]
              UpperCamelCase       			=		dict(zip(UpperCAmelCase_							,   range(len(UpperCAmelCase_      )      )      )      )
              UpperCamelCase       			=		["#version: 0.2", "\u0120 l", "\u0120l o", "\u0120lo w", "e r", ""]
              UpperCamelCase       			=		{"unk_token": "<unk>"}

              UpperCamelCase       			=		os.path.join(self.tmpdirname							,   VOCAB_FILES_NAMES["vocab_file"]      )
              UpperCamelCase       			=		os.path.join(self.tmpdirname							,   VOCAB_FILES_NAMES["merges_file"]      )
              with open(self.vocab_file							,   "w"							,   encoding="utf-8"      ) as fp:
                     fp.write(json.dumps(UpperCAmelCase_      ) + "\n"      )
              with open(self.merges_file							,   "w"							,   encoding="utf-8"      ) as fp:
                     fp.write("\n".join(UpperCAmelCase_      )      )






       def 						_SCREAMING_SNAKE_CASE							(	self			:				List[Any]							,   **UpperCAmelCase_			:				Dict      )->	int:







              """simple docstring"""
              kwargs.update(self.special_tokens_map      )
              return self.tokenizer_class.from_pretrained(self.tmpdirname							,   **UpperCAmelCase_      )






       def 						_SCREAMING_SNAKE_CASE							(	self			:				str							,   **UpperCAmelCase_			:				Optional[Any]      )->	Optional[int]:







              """simple docstring"""
              kwargs.update(self.special_tokens_map      )
              return self.rust_tokenizer_class.from_pretrained(self.tmpdirname							,   **UpperCAmelCase_      )






       def 						_SCREAMING_SNAKE_CASE							(	self			:				Optional[int]							,   UpperCAmelCase_			:				Dict      )->	List[Any]:







              """simple docstring"""
              UpperCamelCase       			=		"lower newer"
              UpperCamelCase       			=		"lower newer"
              return input_text, output_text






       def 						_SCREAMING_SNAKE_CASE							(	self			:				Tuple      )->	Optional[Any]:







              """simple docstring"""
              UpperCamelCase       			=		self.tokenizer_class(self.vocab_file							,   self.merges_file							,   **self.special_tokens_map      )
              UpperCamelCase       			=		"lower newer"
              UpperCamelCase       			=		["l", "o", "w", "er", "\u0120", "n", "e", "w", "er"]
              UpperCamelCase       			=		tokenizer.tokenize(UpperCAmelCase_      )  # , add_prefix_space=True)
              self.assertListEqual(UpperCAmelCase_							,   UpperCAmelCase_      )

              UpperCamelCase       			=		tokens + [tokenizer.unk_token]
              UpperCamelCase       			=		[0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
              self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase_      )							,   UpperCAmelCase_      )






       def 						_SCREAMING_SNAKE_CASE							(	self			:				Optional[int]      )->	Tuple:







              """simple docstring"""
              UpperCamelCase       			=		self.get_tokenizer()

              self.assertListEqual(tokenizer.encode("Hello world!"							,   add_special_tokens=UpperCAmelCase_      )							,   [0, 31_414, 232, 328, 2]      )
              self.assertListEqual(
                  tokenizer.encode("Hello world! cécé herlolip 418"							,   add_special_tokens=UpperCAmelCase_      )							,   [0, 31_414, 232, 328, 740, 1_140, 12_695, 69, 46_078, 1_588, 2]							,   )






       @slow
       def 						_SCREAMING_SNAKE_CASE							(	self			:				int      )->	int:







              """simple docstring"""
              UpperCamelCase       			=		self.tokenizer_class.from_pretrained("allenai/longformer-base-4096"      )

              UpperCamelCase       			=		tokenizer.encode("sequence builders"							,   add_special_tokens=UpperCAmelCase_      )
              UpperCamelCase       			=		tokenizer.encode("multi-sequence build"							,   add_special_tokens=UpperCAmelCase_      )

              UpperCamelCase       			=		tokenizer.encode(
                  "sequence builders"							,   add_special_tokens=UpperCAmelCase_							,   add_prefix_space=UpperCAmelCase_      )
              UpperCamelCase       			=		tokenizer.encode(
                  "sequence builders"							,   "multi-sequence build"							,   add_special_tokens=UpperCAmelCase_							,   add_prefix_space=UpperCAmelCase_      )

              UpperCamelCase       			=		tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_      )
              UpperCamelCase       			=		tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_							,   UpperCAmelCase_      )

              assert encoded_sentence == encoded_text_from_decode
              assert encoded_pair == encoded_pair_from_decode






       def 						_SCREAMING_SNAKE_CASE							(	self			:				Optional[int]      )->	Optional[Any]:







              """simple docstring"""
              UpperCamelCase       			=		self.get_tokenizer()

              UpperCamelCase       			=		"Encode this sequence."
              UpperCamelCase       			=		tokenizer.byte_encoder[" ".encode("utf-8"      )[0]]

              # Testing encoder arguments
              UpperCamelCase       			=		tokenizer.encode(UpperCAmelCase_							,   add_special_tokens=UpperCAmelCase_							,   add_prefix_space=UpperCAmelCase_      )
              UpperCamelCase       			=		tokenizer.convert_ids_to_tokens(encoded[0]      )[0]
              self.assertNotEqual(UpperCAmelCase_							,   UpperCAmelCase_      )

              UpperCamelCase       			=		tokenizer.encode(UpperCAmelCase_							,   add_special_tokens=UpperCAmelCase_							,   add_prefix_space=UpperCAmelCase_      )
              UpperCamelCase       			=		tokenizer.convert_ids_to_tokens(encoded[0]      )[0]
              self.assertEqual(UpperCAmelCase_							,   UpperCAmelCase_      )

              tokenizer.add_special_tokens({"bos_token": "<s>"}      )
              UpperCamelCase       			=		tokenizer.encode(UpperCAmelCase_							,   add_special_tokens=UpperCAmelCase_      )
              UpperCamelCase       			=		tokenizer.convert_ids_to_tokens(encoded[1]      )[0]
              self.assertNotEqual(UpperCAmelCase_							,   UpperCAmelCase_      )

              # Testing spaces after special tokens
              UpperCamelCase       			=		"<mask>"
              tokenizer.add_special_tokens(
                  {"mask_token": AddedToken(UpperCAmelCase_							,   lstrip=UpperCAmelCase_							,   rstrip=UpperCAmelCase_      )}      )  # mask token has a left space
              UpperCamelCase       			=		tokenizer.convert_tokens_to_ids(UpperCAmelCase_      )

              UpperCamelCase       			=		"Encode <mask> sequence"
              UpperCamelCase       			=		"Encode <mask>sequence"

              UpperCamelCase       			=		tokenizer.encode(UpperCAmelCase_      )
              UpperCamelCase       			=		encoded.index(UpperCAmelCase_      )
              UpperCamelCase       			=		tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]      )[0]
              self.assertEqual(UpperCAmelCase_							,   UpperCAmelCase_      )

              UpperCamelCase       			=		tokenizer.encode(UpperCAmelCase_      )
              UpperCamelCase       			=		encoded.index(UpperCAmelCase_      )
              UpperCamelCase       			=		tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]      )[0]
              self.assertNotEqual(UpperCAmelCase_							,   UpperCAmelCase_      )






       def 						_SCREAMING_SNAKE_CASE							(	self			:				List[Any]      )->	List[str]:







              """simple docstring"""
              pass






       def 						_SCREAMING_SNAKE_CASE							(	self			:				Optional[Any]      )->	Tuple:







              """simple docstring"""
              for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                     with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"      ):
                            UpperCamelCase       			=		self.rust_tokenizer_class.from_pretrained(UpperCAmelCase_							,   **UpperCAmelCase_      )
                            UpperCamelCase       			=		self.tokenizer_class.from_pretrained(UpperCAmelCase_							,   **UpperCAmelCase_      )
                            UpperCamelCase       			=		"A, <mask> AllenNLP sentence."
                            UpperCamelCase       			=		tokenizer_r.encode_plus(UpperCAmelCase_							,   add_special_tokens=UpperCAmelCase_							,   return_token_type_ids=UpperCAmelCase_      )
                            UpperCamelCase       			=		tokenizer_p.encode_plus(UpperCAmelCase_							,   add_special_tokens=UpperCAmelCase_							,   return_token_type_ids=UpperCAmelCase_      )

                            # token_type_ids should put 0 everywhere
                            self.assertEqual(sum(tokens_r["token_type_ids"]      )							,   sum(tokens_p["token_type_ids"]      )      )

                            # attention_mask should put 1 everywhere, so sum over length should be 1
                            self.assertEqual(
                                sum(tokens_r["attention_mask"]      ) / len(tokens_r["attention_mask"]      )							,   sum(tokens_p["attention_mask"]      ) / len(tokens_p["attention_mask"]      )							,   )

                            UpperCamelCase       			=		tokenizer_r.convert_ids_to_tokens(tokens_r["input_ids"]      )
                            UpperCamelCase       			=		tokenizer_p.convert_ids_to_tokens(tokens_p["input_ids"]      )

                            # Rust correctly handles the space before the mask while python doesnt
                            self.assertSequenceEqual(tokens_p["input_ids"]							,   [0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]      )
                            self.assertSequenceEqual(tokens_r["input_ids"]							,   [0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]      )

                            self.assertSequenceEqual(
                                UpperCAmelCase_							,   ["<s>", "A", ",", "<mask>", "ĠAllen", "N", "LP", "Ġsentence", ".", "</s>"]      )
                            self.assertSequenceEqual(
                                UpperCAmelCase_							,   ["<s>", "A", ",", "<mask>", "ĠAllen", "N", "LP", "Ġsentence", ".", "</s>"]      )






       def 						_SCREAMING_SNAKE_CASE							(	self			:				Any      )->	Dict:







              """simple docstring"""
              for trim_offsets, add_prefix_space in itertools.product([True, False]							,   repeat=2      ):
                     UpperCamelCase       			=		self.rust_tokenizer_class.from_pretrained(
                         self.tmpdirname							,   use_fast=UpperCAmelCase_							,   add_prefix_space=UpperCAmelCase_							,   trim_offsets=UpperCAmelCase_      )

                     UpperCamelCase       			=		json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()      )
                     UpperCamelCase       			=		json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()      )

                     self.assertEqual(pre_tokenizer_state["add_prefix_space"]							,   UpperCAmelCase_      )

                     self.assertEqual(post_processor_state["add_prefix_space"]							,   UpperCAmelCase_      )
                     self.assertEqual(post_processor_state["trim_offsets"]							,   UpperCAmelCase_      )






       def 						_SCREAMING_SNAKE_CASE							(	self			:				Optional[int]      )->	Union[str, Any]:







              """simple docstring"""
              # Test which aims to verify that the offsets are well adapted to the argument `add_prefix_space` and
              # `trim_offsets`
              for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                     with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"      ):
                            UpperCamelCase       			=		"hello"  # `hello` is a token in the vocabulary of `pretrained_name`
                            UpperCamelCase       			=		f"{text_of_1_token} {text_of_1_token}"

                            UpperCamelCase       			=		self.rust_tokenizer_class.from_pretrained(
                                UpperCAmelCase_							,   use_fast=UpperCAmelCase_							,   add_prefix_space=UpperCAmelCase_							,   trim_offsets=UpperCAmelCase_      )
                            UpperCamelCase       			=		tokenizer_r(UpperCAmelCase_							,   return_offsets_mapping=UpperCAmelCase_							,   add_special_tokens=UpperCAmelCase_      )
                            self.assertEqual(encoding.offset_mapping[0]							,   (0, len(UpperCAmelCase_      ))      )
                            self.assertEqual(
                                encoding.offset_mapping[1]							,   (len(UpperCAmelCase_      ) + 1, len(UpperCAmelCase_      ) + 1 + len(UpperCAmelCase_      ))							,   )

                            UpperCamelCase       			=		self.rust_tokenizer_class.from_pretrained(
                                UpperCAmelCase_							,   use_fast=UpperCAmelCase_							,   add_prefix_space=UpperCAmelCase_							,   trim_offsets=UpperCAmelCase_      )
                            UpperCamelCase       			=		tokenizer_r(UpperCAmelCase_							,   return_offsets_mapping=UpperCAmelCase_							,   add_special_tokens=UpperCAmelCase_      )
                            self.assertEqual(encoding.offset_mapping[0]							,   (0, len(UpperCAmelCase_      ))      )
                            self.assertEqual(
                                encoding.offset_mapping[1]							,   (len(UpperCAmelCase_      ) + 1, len(UpperCAmelCase_      ) + 1 + len(UpperCAmelCase_      ))							,   )

                            UpperCamelCase       			=		self.rust_tokenizer_class.from_pretrained(
                                UpperCAmelCase_							,   use_fast=UpperCAmelCase_							,   add_prefix_space=UpperCAmelCase_							,   trim_offsets=UpperCAmelCase_      )
                            UpperCamelCase       			=		tokenizer_r(UpperCAmelCase_							,   return_offsets_mapping=UpperCAmelCase_							,   add_special_tokens=UpperCAmelCase_      )
                            self.assertEqual(encoding.offset_mapping[0]							,   (0, len(UpperCAmelCase_      ))      )
                            self.assertEqual(
                                encoding.offset_mapping[1]							,   (len(UpperCAmelCase_      ), len(UpperCAmelCase_      ) + 1 + len(UpperCAmelCase_      ))							,   )

                            UpperCamelCase       			=		self.rust_tokenizer_class.from_pretrained(
                                UpperCAmelCase_							,   use_fast=UpperCAmelCase_							,   add_prefix_space=UpperCAmelCase_							,   trim_offsets=UpperCAmelCase_      )
                            UpperCamelCase       			=		tokenizer_r(UpperCAmelCase_							,   return_offsets_mapping=UpperCAmelCase_							,   add_special_tokens=UpperCAmelCase_      )
                            self.assertEqual(encoding.offset_mapping[0]							,   (0, len(UpperCAmelCase_      ))      )
                            self.assertEqual(
                                encoding.offset_mapping[1]							,   (len(UpperCAmelCase_      ), len(UpperCAmelCase_      ) + 1 + len(UpperCAmelCase_      ))							,   )

                            UpperCamelCase       			=		f" {text}"

                            # tokenizer_r = self.rust_tokenizer_class.from_pretrained(
                            #     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
                            # )
                            # encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
                            # self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
                            # self.assertEqual(
                            #     encoding.offset_mapping[1],
                            #     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
                            # )

                            UpperCamelCase       			=		self.rust_tokenizer_class.from_pretrained(
                                UpperCAmelCase_							,   use_fast=UpperCAmelCase_							,   add_prefix_space=UpperCAmelCase_							,   trim_offsets=UpperCAmelCase_      )
                            UpperCamelCase       			=		tokenizer_r(UpperCAmelCase_							,   return_offsets_mapping=UpperCAmelCase_							,   add_special_tokens=UpperCAmelCase_      )
                            self.assertEqual(encoding.offset_mapping[0]							,   (1, 1 + len(UpperCAmelCase_      ))      )
                            self.assertEqual(
                                encoding.offset_mapping[1]							,   (1 + len(UpperCAmelCase_      ) + 1, 1 + len(UpperCAmelCase_      ) + 1 + len(UpperCAmelCase_      ))							,   )

                            UpperCamelCase       			=		self.rust_tokenizer_class.from_pretrained(
                                UpperCAmelCase_							,   use_fast=UpperCAmelCase_							,   add_prefix_space=UpperCAmelCase_							,   trim_offsets=UpperCAmelCase_      )
                            UpperCamelCase       			=		tokenizer_r(UpperCAmelCase_							,   return_offsets_mapping=UpperCAmelCase_							,   add_special_tokens=UpperCAmelCase_      )
                            self.assertEqual(encoding.offset_mapping[0]							,   (0, 1 + len(UpperCAmelCase_      ))      )
                            self.assertEqual(
                                encoding.offset_mapping[1]							,   (1 + len(UpperCAmelCase_      ), 1 + len(UpperCAmelCase_      ) + 1 + len(UpperCAmelCase_      ))							,   )

                            UpperCamelCase       			=		self.rust_tokenizer_class.from_pretrained(
                                UpperCAmelCase_							,   use_fast=UpperCAmelCase_							,   add_prefix_space=UpperCAmelCase_							,   trim_offsets=UpperCAmelCase_      )
                            UpperCamelCase       			=		tokenizer_r(UpperCAmelCase_							,   return_offsets_mapping=UpperCAmelCase_							,   add_special_tokens=UpperCAmelCase_      )
                            self.assertEqual(encoding.offset_mapping[0]							,   (0, 1 + len(UpperCAmelCase_      ))      )
                            self.assertEqual(
                                encoding.offset_mapping[1]							,   (1 + len(UpperCAmelCase_      ), 1 + len(UpperCAmelCase_      ) + 1 + len(UpperCAmelCase_      ))							,   )





